Engineering Research Center for Transportation Safety

Wuhan, China

Engineering Research Center for Transportation Safety

Wuhan, China
SEARCH FILTERS
Time filter
Source Type

Lyu N.,Wuhan University of Technology | Lyu N.,Engineering Research Center for Transportation Safety | Xie L.,Wuhan University of Technology | Xie L.,Engineering Research Center for Transportation Safety | And 6 more authors.
International Journal of Environmental Research and Public Health | Year: 2017

Complex traffic situations and high driving workload are the leading contributing factors to traffic crashes. There is a strong correlation between driving performance and driving workload, such as visual workload from traffic signs on highway off-ramps. This study aimed to evaluate traffic safety by analyzing drivers’ behavior and performance under the cognitive workload in complex environment areas. First, the driving workload of drivers was tested based on traffic signs with different quantities of information. Forty-four drivers were recruited to conduct a traffic sign cognition experiment under static controlled environment conditions. Different complex traffic signs were used for applying the cognitive workload. The static experiment results reveal that workload is highly related to the amount of information on traffic signs and reaction time increases with the information grade, while driving experience and gender effect are not significant. This shows that the cognitive workload of subsequent driving experiments can be controlled by the amount of information on traffic signs. Second, driving characteristics and driving performance were analyzed under different secondary task driving workload levels using a driving simulator. Drivers were required to drive at the required speed on a designed highway off-ramp scene. The cognitive workload was controlled by reading traffic signs with different information, which were divided into four levels. Drivers had to make choices by pushing buttons after reading traffic signs. Meanwhile, the driving performance information was recorded. Questionnaires on objective workload were collected right after each driving task. The results show that speed maintenance and lane deviations are significantly different under different levels of cognitive workload, and the effects of driving experience and gender groups are significant. The research results can be used to analyze traffic safety in highway environments, while considering more drivers’ cognitive and driving performance. © 2017 by the authors; licensee MDPI, Basel, Switzerland


Zhang L.-L.,Wuhan University of Science and Technology | Zhu H.,Wuhan University of Science and Technology | Wu C.-Z.,Wuhan University of Technology | Wu C.-Z.,Engineering Research Center for Transportation Safety | Zheng A.-W.,Wuhan University of Science and Technology
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2015

Speed time series collected as vehicles approaching an intersection can be used to predict several speed values as they subsequently entering it. Then, traveling tracks and spacing distances of the conflict vehicles are calculated by the predicted speed values, and the collision risk of them can be estimated. Because the speed distribution of a vehicle approaching to an intersection closes to the characteristics of random sequences, auto-regressive moving average (ARMA) theory is introduced to model the vehicle speed prediction. The modeling process includes time series data correlation test, p-q orders determination, formula coefficient estimation and model adaptability test. Test result shows that the ARMA model built by the previous 40 data of the observed speed time series could predict 20 values which are closed to the 20 observed ones. The other evidences of that are the normalized mean absolute errors of the conflict vehicles, which respectively equaled to 0.006 56 and 0.003 4. Further, the model built by all the 60 data of the observed time series is necessarily more applicable to predict vehicle speed, just as all the result values of the residual auto-correlation function test are less than 0.258 2. ©, 2015, Science Press. All right reserved.


Zhang D.,Wuhan University of Technology | Zhang D.,Engineering Research Center for Transportation Safety | Yan X.,Wuhan University of Technology | Yan X.,Engineering Research Center for Transportation Safety | And 2 more authors.
11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012 | Year: 2012

Along with the national development of the Middle and Western parts of China, Yangtze River has become the world's busiest navigable river with respect to its huge volume of goods transported, which exceeded 1.6 billion tons in 2011. With the increase of the throughput and the passing ships in the river, accidents such as collisions, groundings, contacts, oil-spills and fires occur repeatedly, causing serious consequences to the sustainable development of Yangtze River. In view of this, attempts made in this paper are to evaluate the navigational risk of Yangtze River combining Analytical Hierarchy Process (AHP) and discrete fuzzy sets by taking into account various aspects of the inland waterway transportation system (e.g. human, vessel, environment, etc.), so as to enhance the navigational safety in Yangtze River.


Ma M.,Engineering Research Center for Transportation Safety | Yan X.,Wuhan University of Technology | Huang H.,University of Central Florida | Abdel-Aty M.,University of Central Florida
Transportation Research Record | Year: 2010

Public transportation plays a key role in providing transport services for the public in most cities of China. Safety is a top priority for improving the level of services of public transportation. This study aims to identify crash risk factors associated with demographic characteristics, driving-related experiences, and aberrant driving behaviors of the drivers of public transportation vehicles as well as to establish the influence of risk perception, risk-taking attitudes, and risky driving behaviors. The data used for analyses were obtained from a self-reported questionnaire survey carried out among 248 taxi and bus drivers in Wuhan, China. The results showed that drivers who both reported more tendencies toward aggressive violations and ordinary violations and had previously been involved in crashes were at high risk of crash involvement. Moreover, through the use of a structural equation model, it was found that drivers' attitudes toward rule violations and speeding significantly affect risky driving behaviors. Two risk perception scales, likelihood of crash and concern, have indirect effects on risky driving behaviors through their influence on drivers' attitudes toward rule violations and speeding. The significant risk factors and influential paths identified in this study are expected to result in better planning of road safety campaigns aimed at the occupational drivers in public transportation.


Chen Z.,Wuhan University of Technology | Chen Z.,Engineering Research Center for Transportation Safety | Wu C.,Wuhan University of Technology | Wu C.,Engineering Research Center for Transportation Safety | And 6 more authors.
2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 | Year: 2014

Vehicle-pedestrian collision avoidance is an important issue on intelligent vehicles research field. Although pedestrian detection and collision avoidance were concentrated by previously many studies, there are many problems about the collision prediction and warning. Based on pedestrian detection, the trajectory prediction and time to collision (TTC) still needs to be further studied to prevent vehicle-pedestrian collision. In this study, a monocular camera with low cost was utilized. The well performance of pedestrian detection was shown. Based on this detection system, a model of pedestrian trajectory prediction was proposed. Then, the extended Kalman filter was used to predict motion of pedestrian. Based on trajectory prediction, time to collision range (TTCR) was proposed identify three levels risks, including safe, potential collision and collision. In this study, the on-road experiments were conducted to validate the proposed method. The experimental result shows that the TTCR is more reasonable and safe to apply in vehicle-pedestrian collision avoidance. © 2014 IEEE.


Tian F.,Wuhan University of Technology | Tian F.,Engineering Research Center for Transportation Safety | Wu C.,Wuhan University of Technology | Wu C.,Engineering Research Center for Transportation Safety | And 7 more authors.
2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 | Year: 2014

In order to improve road traffic safety and tackle traffic congestion problems, an integrated platform is designed for cooperative vehicle infrastructure systems (CVIS) with consideration of real traffic conditions of China and typical traffic scenes of intersections and segments. It designs schemes for integrated demonstration platform of cooperative vehicle infrastructure systems in China. Moreover, the integrated demonstration tests of 10 vehicles show that cooperative vehicle infrastructure technology can solve some traffic problems, and provides new solution for the current traffic congestion and crashes. A practical testbed has been laid for the subsequent studies on cooperative vehicle infrastructure systems in China. It has important guiding significance for the relevant study in the future. © 2014 IEEE.


Zhou S.,Wuhan University of Technology | Wu C.,Wuhan University of Technology | Wu C.,Engineering Research Center for Transportation Safety
Applied Mechanics and Materials | Year: 2011

The study on driver's intention recognition is useful to improve the conclusion accuracy of the risk assessment in current vehicle driving safety precaution system. DS evidence theory is used to study a recognition method for driver's intention. In order to improve the accuracy of driver's intention recognition, the driving sequential actions and the driver's characteristics are also taken into account. The detailed steps of the recognition method for driver's intention are presented. And the experimental result shows that the recognition method is feasible and effective. © (2011) Trans Tech Publications.


Wan C.,Wuhan University of Technology | Wan C.,Engineering Research Center for Transportation Safety | Yan X.,Wuhan University of Technology | Yan X.,Engineering Research Center for Transportation Safety | And 4 more authors.
Chemical Engineering Transactions | Year: 2013

In recent years, with the rapid development of world economy, energy consumption increases sharply, and the environment is deteriorating. So, Liquefied Natural Gas (LNG), a renewable clean energy (Tugnoli et al., 2010) which can be used as ship fuel, is drawing attentions from more and more countries in the world. However, the transformation of the marine LNG-diesel Dual-Fuel Engine (DFE) in China as a new researching is just in its infancy, and the technology of operability, economic and security of which is not mature yet. In view of this, taking the China inland's first transformed marine LNG-diesel dual-fuel engine GC6135ACz as an example, a risk assessment about the failure of this engine has been carried out based on an analytic hierarchy process, by which key risk factors for failure of dual-fuel engine have been obtained ultimately with expert survey data and certain risk control measures have been therefore put forward, so as to enhance the safety of marine LNG-diesel dual fuel engines. Copyright © 2013, AIDIC Servizi S.r.l.


Chu D.,Wuhan University of Technology | Chu D.,Engineering Research Center for Transportation Safety | Ma J.,Wuhan University of Technology | Ma J.,Engineering Research Center for Transportation Safety | Li G.,Wuhan University of Technology
International Journal of Advancements in Computing Technology | Year: 2012

In this paper, a combined dynamics modeling methodology has been presented for establishing a 4-DOF (degrees of freedom) vehicle model including longitudinal, lateral, yaw and roll motions by simplifying a more complicated vehicle dynamics model of previous works. A lateral load transfer ratio is used as the indicator of the maneuver-induced tripped rollover. Then, a sliding mode controller is designed for rollover prevention. The simulation with a set of test maneuvers i.e. Fishhook and J-turn referring to some severe steering conditions have been conducted to evaluate the functionality and performance of this vehicle dynamics control system for rollover prevention.


Wang L.,Engineering Research Center for Transportation Safety | Chu X.M.,Engineering Research Center for Transportation Safety | Liu C.G.,Engineering Research Center for Transportation Safety
ICTIS 2015 - 3rd International Conference on Transportation Information and Safety, Proceedings | Year: 2015

For USV (unmanned surface vessels) cruise trajectory problem, this paper makes the research for two different drive models under the wind and waves disturbances of trajectory tracking control. Firstly, the characteristics of the USV is analyzed, then establishes the full drive and underactuated drive motion models of USV under the wind and waves disturbances environment. Secondly, a series of constraints based on the models is set, and then uses the MPC (model predictive control) algorithm to forecast the USV cruise paths, in order to infinite close to the expected route. Finally using Matlab to simulate, tracking control results are obtained, and then analyzes the results. Through the above MPC controller simulation research, it can effectively tracking the USV trajectory under the different driving models. Therefore it ensures the safety of the USV cruise work smoothly according to the requirement and then promotes the application of the USV. © 2015 IEEE.

Loading Engineering Research Center for Transportation Safety collaborators
Loading Engineering Research Center for Transportation Safety collaborators